Inflation and dark energy from f(r) gravity

Size: px
Start display at page:

Download "Inflation and dark energy from f(r) gravity"

Transcription

1 Prepared for submissio to JCAP Iflatio ad dark eergy from f(r) gravity arxiv: v2 [hep-th] 22 Dec 2014 Micha l Artymowski a Zygmut Lalak b a Departmet of Physics, Beijig Normal Uiversity Beijig , Chia b Istitute of Theoretical Physics, Faculty of Physics, Uiversity of Warsaw ul. Hoża 69, Warszawa, Polad artymowski@bu.edu.c, Zygmut.Lalak@fuw.edu.pl Abstract. The stadard Starobisky iflatio has bee exteded to the R + αr βr 2 model to obtai a stable miimum of the Eistei frame scalar potetial of the auxiliary field. As a result we have obtaied obtai a scalar potetial with o-zero value of residual vacuum eergy, which may be a source of Dark Eergy. Our results ca be easily cosistet with PLANCK or BICEP2 data for appropriate choices of the value of. Keywords: Iflatio, f(r) theory, cosmic acceleratio, BICEP2 results ArXiv eprit:

2 Cotets 1 Itroductio 1 2 The R + αr model The geeratio of primordial ihomogeeities 6 3 The R + αr βr 2 model Coditios for the f(r) dark eergy 9 4 Numerical aalysis of the dark eergy model 11 5 Coclusios 11 6 Ackowledgemets 13 A Oscillatios aroud the miimum 13 1 Itroductio Iflatioary sceario for the Early Uiverse has become oe of the stadard assumptios i theoretical model buildig. It ca accout aturally for the wealth of preset observatioal data. The existece of rapid expasio stage i the history of the Uiverse ca give us a atural explaatio of the homogeeity, flatess ad horizo problems, ad provides a explaatio of the process of seedig large-scale structure ad temperature aisotropies of the cosmic microwave backgroud radiatio (see refs. [1 3] for reviews). Oe of the first iflatioary models was the Starobisky iflatio [4], based o the f(r) = R + R 2 /6M 2 Lagragia desity. I this theory durig iflatio the R 2 term domiates, which provides a stage of the de-sitter-like evolutio of space-time. The iflatioary potetial has a stable miimum, which allows for the graceful exit, reheatig ad good low-eergy limit of the theory. However, the recet observatioal data from the BICEP2 experimet [5, 6] suggest sigificat amout of primordial gravitatioal waves, which disfavours the Starobisky iflatio. As show i [7], a small modificatio of the f(r) fuctio, amely f(r) = R +αr, ca geerate iflatio which fits the BICEP2 data. This model has already bee partially discussed i [8]. Differet modificatios of the Starobisky model were also discussed i Ref. [9, 10]. O the other had the series of experimets [11 13] covicigly suggests the existece of the so-called Dark Eergy (DE) with barotropic parameter close to 1. Oe of the possible sources of DE may be a o-zero vacuum eergy of a scalar field, which i priciple ca be the f(r) theory [8, 14, 15] or the Bras-Dicke field. I this paper we demostrate how to exted the f(r) = R + αr model to combie successfully both features of the observable Uiverse i a sigle framework: we show how to obtai successful iflatio ad the o-zero residual value of the Ricci scalar i a extesio of the Starobisky model. Namely, we use the f(r) = αr βr 2 Lagragia desity, 1

3 which provides iflatio from the αr ad a stable miimum of the scalar potetial of a auxiliary field. The potetial has a o-zero vacuum eergy desity, which is the source of the DE i the late-times evolutio. Let us ote that some iflatioary potetials, which geerate DE (motivated by modified theories of gravity) were already itroduced i the Ref. [16] I the followig draft we use the covetio 8πG = M 2 pl = 1, where M pl GeV is the reduced Plack mass. The structure of this paper is as follows. I the Sec. 2 we aalyse the f(r) = R + αr model: we discuss aalytic solutios, parameters of iflatio ad primordial ihomogeeities. I the Sec. 3 we geeralise this model to f(r) = R + αr βr 2, which leads to the ozero vacuum eergy of the Eistei frame potetial. I the Sec. 4 we discuss umerical study of the evolutio of the model with dust modellig the cotributio of matter fields to eergy desity. Fially, we coclude i the Sec The R + αr model Let us cosider a f(r) theory i the flat FRW space-time with the metric tesor of the form of ds 2 = dt 2 + a(t) 2 (d x) 2. The, the Friedma equatios become 3F H 2 = (F R f)/2 3HF + ρ M, (2.1) 2F Ḣ = F HF + (ρ M + P M ), (2.2) where F (R) = df dr ad ρ M ad P M are eergy desity ad pressure of matter fields respectively. The actio of f(r) model ca be rewritte as S = d 4 x [ ] 1 g 2 ϕr U(ϕ) + L m, (2.3) where ϕ = F (R), U(ϕ) = 1 (RF f), (2.4) 2 which meas that the f(r) gravity ca be expressed as a Bras-Dicke theory i Jorda frame with ω BD = 0. I the Jorda frame the auxiliary field ϕ is o-miimally coupled to gravity, which creates a deviatio from the Geeral Relativity (GR) frame. The first Friedma equatio ad cotiuity equatios are the followig oes ϕ + 3H ϕ (ϕu ϕ 2U) = 1 3 (ρ M 3p M ), (2.5) ( 3 H + ϕ ) 2 = 3 ϕ 2 2ϕ 4 ϕ 2 + U ϕ + ρ M ϕ, (2.6) ρ M + 3H(ρ M + P M ) = 0. (2.7) where U ϕ = du dϕ. Let us ote that U may be iterpreted as a eergy desity, but U ϕ is ot a effective force i the Eq. (2.5). Oe ca defie the effective potetial ad its derivative - 2

4 the effective force, by 2 U eff = 3 (ϕu ϕ 2U)dϕ ϕ 1 3 (ρ M 3p M ) + C, F eff := du eff dϕ, (2.8) where C is ukow costat of itegratio. The effective potetial shall be iterpreted as a source of a effective force, but ot as a eergy desity. The gravitatioal part of the actio may obtai its caoical (miimally coupled to ϕ) form after trasformatio to Eistei frame which gives the actio of the form of g µν = ϕg µν, d t = ϕdt, ã = ϕa (2.9) S = d 4 x g 1 2 R 3 4 ( ) 2 ϕ U(ϕ) ϕ ϕ 2, (2.10) where is the derivative with respect to x µ. I order to obtai the caoical kietic term for ϕ let us use the Eistei frame scalar field φ 3 φ = log ϕ. (2.11) 2 The actio i terms of g µν ad φ looks as follows S = d 4 x [ 1 g 2 R 1 ( ) ] 2 φ V (φ), (2.12) 2 where V = (F R f) 2F 2 = U(ϕ) ϕ 2. (2.13) ϕ=ϕ(φ) Let us ote that (ϕu ϕ 2U) from the Eq. (2.5) ca be expressed as ϕ 3 V ϕ, so the miimum of V shall also be the miimum of the effective potetial i the Jorda frame. I fact, all importat features of the potetial, like existece of miima ad barriers betwee them, which determie the evolutio of the field i the Eistei frame are reflected i the evolutio of the field i the Jorda frame. I further parts of this draft we will refer to the Eistei frame potetial, eve though we cosider the Jorda frame as the primordial (or defiig) oe. Sice all of the aalysis performed i this draft is classical, descriptios i both frames give the same physical results. However, the descriptio i the Eistei frame is more ituitive, due to the caoical form of the scalar field s kietic term ad the miimal couplig betwee the field ad the gravity. The oly exceptio is the ϕ limit, which usually leads to V due to the ϕ 2 term i the potetial. This ifiity comes from the sigularity of the Eistei frame metric tesor ad it does ot appear i the Jorda frame aalysis. For the vacuum model with f(r) = R + αr, (α > 0, > 0), (2.14) 3

5 oe obtais 3H 2 (1 + αr 1 ) = 1 2 ( 1)αR 3( 1)αHR 2 Ṙ. (2.15) I the regime F 1, ɛf > 1 oe fids [8] Ḣ H 2 ɛ, ɛ = 2 ( 1)(2 1), H 1 ɛt, a t1/ɛ. (2.16) The same results would be obtaied for the power-low iflatio i GR frame (for miimally coupled scalar field) with the potetial V = V 0 e λφ, where ɛ = λ 2 /2. However, such a model would geerate differet spectrum of primordial ihomogeeities. Let us ote that the ɛ ca be iterpreted as a slow-roll parameter oly for F 1 ad ɛ > 1/F. The secod coditio comes from the fact, that the correctio to the equatio of motio comig from the GR low-eergy limit shall be of the order of 1/F R/f(R). The slow-roll parameter will be deoted as ɛ H ed defied by ɛ H := Ḣ H 2 ɛ + 1 F. (2.17) The iflatio eds whe ɛ H 1, which happes i the ɛf < 1 regime. Thus at the momet of the ed of iflatio oe fids ϕ 1 for all realistic values of. Besides ɛ H let us defie slow-roll parameters ɛ F ad η F by ɛ F := F 2HF, η F := F HF. (2.18) To obtai iflatio oe must satisfy ɛ H, ɛ F, η F 1. To satisfy this coditio i the ɛf > 1 limit we eed ɛ < 1 > 1 2 (1 + 3). To satisfy Ḣ < 0 ad H > 0 oe eeds < 2. Thus the allowed rage for is give by [8] [ 1 2 (1 + ] 3), 2. (2.19) Let us check whether the assumptio F 1 is valid durig the last e-foldig of iflatio, durig which the primordial ihomogeeities were geerated. The evolutio of a slow-roll parameters (ad their ɛf > 1 limit) as a fuctio of time for differet values of has bee preseted at fig. 1, 2, 3. Values of the α parameter have bee chose to satisfy ormalisatio of primordial curvature perturbatios at e-folds before the ed of iflatio. To obtai the umber of e-folds let us ote that for the slow-roll approximatio of Eq. (2.5,2.6,2.14) oe fids ( ) N Ñ 3 3 ϕ(2 ) + 2( 1) log (ϕ) + 4 4(2 ) log, (2.20) where N ad Ñ are the umber of e-folds i Jorda ad Eistei frames respectively. Usually the log(ϕ) term is subdomiat ad oe ca write ϕ(n) 1 ( 2 2 (2 e 4(2 ) N) ) 3. (2.21) 4

6 Ε, Ε H, 1 F Α F Ε 1 F H H 2 Ε Ε H, Ε F, Η F Α Η F Ε H Ε F 1 F t t Figure 1. Aalytical results versus umerical simulatio of slow-roll parameters ad their ɛf > 1 limit. Dots correspod to N = 60 ad N = 50 (left ad right dots respectively). At the momet of the horizo crossig oe obtais ɛf 1, so oe ca use the aalytical solutio from the Eq. (2.16) to describe the evolutio of space-time durig that period. Ε, Ε H, 1 F Α F 1 F Ε H H 2 Ε Ε H, Ε F, Η F Α Η F Ε H Ε F 1 F t t Figure 2. Aalytical results versus umerical simulatio of the slow-roll parameters ad their ɛf > 1 limit. Dots correspod to N = 60 ad N = 50 (left ad right dots respectively). At the momet of the horizo crossig the coditio ɛf > 1 is satisfied ad oe ca use the aalytical solutio from the Eq. (2.16) to describe the evolutio of space-time durig that period. This result has bee obtaied usig the slow-roll approximatio ad its accuracy is of order of few e-foldigs. The Eistei frame scalar potetial for f(r) = R + αr as a fuctio of ϕ has a followig form ( V (ϕ) = α( 1)(α) ) 2 (ϕ 1) 2 1, (2.22) ϕ where the last term parametrizes the deviatio from the Starobisky potetial. Let us discuss case by case specific choices for the power i the last term i the cotext of the features of the potetial. a) To obtai the real values of the potetial for all ϕ together with the stable miimum at 5

7 Ε, Ε H, 1 F Α F 1 F Ε H H t Ε Ε H, Ε F, Η F Α Ε H Ε F 1 F Η F t Figure 3. Aalytical results versus umerical simulatio of the slow-roll parameters. Dots correspod to N = 60 ad N = 50 (left ad right dots respectively). At the momet of the horizo crossig oe obtais ɛf 1, so the aalytical solutio from the Eq. (2.16) caot be used to describe the evolutio of space-time durig that period. ϕ = 1 oe eeds 2 1 = 2l 2k + 1, (2.23) where k, l N ad l k. To satisfy these coditios oe eed to assume that = 2(1 2 a 10 b ), (2.24) where a, b N, a b ad a < b log 2 (10)+log 2 (3 3) 2. The last coditio is eeded i order to obtai accelerated expasio of the space-time. This case is preseted at the left pael of the Fig. 6. For this class of potetials the reheatig of the Uiverse takes place durig the oscillatios period, after the scalar field reach its miimum. b) The real values of the potetial for all ϕ ad a potetial without ay miimum is obtaied for 2 1 = 2l + 1 2k + 1, (2.25) where k, l N ad l < k. Potetial obtais egative values for ϕ < 1 ad it heads to for ϕ 0. This case is preseted at the middle pael of the Fig. 6. Such a potetial is o-physical ad without additioal terms it caot be used to geerate iflatio. c) I all other cases the potetial V becomes imagiary for ay ϕ < 1 ad it has o miimum. This case is preseted at the right pael of the Fig. 6. The iflatio eds with the reheatig of the Uiverse, which takes place whe the scalar field rolls towards ϕ = 1. Sice there is o oscillatio phase such a potetial requires strog coupligs betwee the auxiliary field ad matter fields. 2.1 The geeratio of primordial ihomogeeities The power spectrum of the Jorda frame primordial curvature perturbatios at the superhorizo scales has the followig form [8] ( ) P R 2H2 F H 2 3F. (2.26) 2 2π 6

8 Let us ote that the Eq. (2.2) ca be expressed as ɛ H = ɛ F (1 η F ), so for the slowroll approximatio oe fids ɛ H ɛ F. This approximatio is valid for 2 1, sice ɛ F = ( 1)ɛ H for ɛf > 1. Thus, the spectral idex s ad tesor to scalar ratio r are of the form of [8] s 1 4ɛ H + 2ɛ F 2η F 1 6ɛ H 2η F, r 48ɛ 2 F 48ɛ 2 H. (2.27) The ormalisatio of primordial ihomogeeities requires that P 1/2 R at the momet of 50 to 60 e-folds before the ed of iflatio. Oe ca use the ormalisatio of the power spectrum to obtai the realistic values of α. From Eq. (2.5,2.6,2.14,2.26) i the slow-roll regime oe fids the α = α(), which (for realistic values of ) is plotted at the Fig. 4 The ( s, r) plae (which describes the shape of primordial curvature perturbatios) for the R + αr model have bee preseted at the Fig. 5. Α 50, Α N N U eff φ Α 10 7 Β φ Figure 4. Left pael: The aalytical solutio for α as a fuctio of at the momet of N = 50 or N = 60 (solid gree ad dashed red lies respectively). Right pael: The U eff i the vacuum case (solid blue lie) ad for the dust with ρ M = (dotted red lie), ρ M = (thick dotted brow lie), ρ M = (dashed yellow lie). The result is preseted up to a additive costat. The miimum is gettig closer to ϕ = 1 as the ρ M starts to domiate over U(ϕ). r 50, r s 50, 1 s r =2 =1.99 =1.98 =1.95 =1.9 =1.85 = s Figure 5. Left ad middle paels: The aalytical solutio for r ad s as a fuctio of at the momet of N = 50 or N = 60 (solid gree ad dashed red lies respectively). Right pael: The (r, s ) plae for differet. Dark ad light blue lies represet 1σ ad 2σ regios of the BICEP2 results [6]. The R + αr model is iside the 2σ regio for (1.805, 1.845). For 2 the results are cosistet with the PLANCK data. For completeess of the descriptio of the R + αr model we preset i the Appedix A the aalysis of the fial stage of the evolutio of the field ear the miimum, i cases whe the miimum does exist. 7

9 Α 1 1 V φ φ Α 1 1 V φ φ Α 1 1 V φ φ Figure 6. All paels show the Eistei frame scalar potetial V (ϕ) i the R + αr model. The left pael describes the case with the stable miimum. Middle ad right paels show the Eistei frame scalar potetial V (ϕ) i the case of lack of the miimum. At the right pael the potetial obtais complex values for ϕ < 0. 3 The R + αr βr 2 model Deficiecies of the model discussed i the previous Sectio ca be bypassed by cosiderig further modificatio of the gravitatioal Lagragia. To geerate a miimum for the scalar potetial ad (as we will show) to geerate dark eergy as a relict of iflatio let us cosider more complicated form of f(r), amely f(r) = R + αr βr 2, (3.1) where α ad β are positive costats ad satisfies the Eq. (2.19). Let us require α 1, β 1 ad αβ 1. This meas that the αr R βr 2 durig iflatio, so the results obtaied i the sec. 2 are still valid. From ϕ = F = 1 + αr 1 β(2 )R 1 (3.2) oe fids R(ϕ) = ( 4(2 )αβ + (ϕ 1) 2 + ϕ 1 2α ) 1 1 Let us ote that R > 0 for ay value of ϕ. For ϕ 1 αβ oe obtais (3.3) ( ϕ 1 R(ϕ) α ) 1 1 αr βr 2 1 αβ ( ) ϕ (3.4) Thus, the βr 2 term does ot have ay ifluece o iflatio ad geeratio of the large scale structure of the uiverse. The Jorda ad Eistei frames scalar potetials look as follows U(ϕ) = 1 2 ( 1) ( αr (ϕ) + βr 2 (ϕ) ), V = 1 ϕ 2 U (3.5) The Eistei frame scalar potetial has a miimum at R mi = ( 1 + 4(2 )αβ 1 2(2 )α ) 1 1 ( (β) ) (2 )αβ, (3.6) 1 8

10 where the last term is the Taylor expasio with respect to beta. The miimum is slightly shifted with respect to R = 0, which is the GR vacuum case. Hece, this model predicts some amout of vacuum eergy. Aroud the miimum oe fids αr 1 mi αβ 1, βr1 mi 1 O(1), (3.7) which meas that the iflatioary term is egligible ad R βr 2. The existece of the αr term is still importat, sice it provides the miimum ad real values of a scalar potetial for all ϕ. Let us clarify that R mi is ot the miimal value of R. The Ricci scalar has o miimum, its miimal value is equal to 0 (at the ϕ limit) ad it cotiuously grows with ϕ. The value of V at the miimum for small values of β reads V (ϕ mi ) 8( 1) 2 (β) 1 ( αβ ) 1 2 β 1 1, (3.8) where ϕ mi := F (R mi ) 2 ( 1)(1 + 2αβ) is the value of ϕ at the miimum of V. The ad that we eed Eq. 3.8 meas that the eergy desity of the DE shall be of order of β 1 1 β 1 to fit the dark eergy data. A example of a potetial ad its miimum are plotted at the Fig. 7. The existece of a stable miimum is oe of the mai differeces betwee this model ad a R βr 2 dark eergy model, i which the auxiliary field rolls dow towards egative ϕ for small eergies [17]. The miimum of the Eistei frame potetial (visible at both paels of the Fig. 7) prevets the ϕ from obtaiig egative values for ay solutio with iflatioary iitial coditios. 3.1 Coditios for the f(r) dark eergy Let us check whether this model satisfies coditios poited out i the Ref. [8]. The R 0 deoted the value of the Ricci scalar today 1) To avoid the ghost state oe eeds which meas that R 0 > R(ϕ = 0) = F > 0 for R R 0, (3.9) ( 1 + 4αβ(2 ) 1 2α ) 1 1. (3.10) This coditio is satisfied for ay ϕ with iitial coditio ϕ > 0, due to the existece of the miimum of the Eistei frame scalar potetial. This is a advatage of this model comparig to the f(r) = R βr 2 oe, i which F < 0 i late times. 2) To avoid the egative mass square for a scalar field degree of freedom oe eeds F > 0 for R R 0, (3.11) which meas that R 0 > 0. This coditio is obviously satisfied, sice the uiverse at the preset times is filled with DE ad dust. 9

11 3) To satisfy cosistecy with local gravity costraits oe eeds f(r) R 2Λ for R R 0, (3.12) After the ϕ field is stabilised i its miimum it produces the vacuum eergy, which is a source of Λ. The o-zero values of R comes from radiatio ad dust produced durig the reheatig of the uiverse, as well as from the o-zero miimal value of the Ricci scalar. 4) For the stability ad the presece of a late-time de Sitter solutio oe eeds The r = 2 happes for 0 < RF F < 1 at r := RF f = 2 (3.13) R = R r = ( (2 ) αβ 1 2(2 )α At R = R r the RF /F takes the form of ) 1 1 (β) 1 1. (3.14) RF F (r = 2) = 1 ( ( ) αβ ( 1) ) (2 ) αβ, 2 + 8αβ (3.15) which lies i the rage of (0, 1) for cosidered regimes of α ad β. To see that clearly let us perform a Tylor expasio of the RF /F with respect to αβ. The oe obtais RF F (r = 2) 1 2 (2 ) + ( 1)2 αβ (3.16) Thus, this model satisfies coditios for a viable DE model V φ Α 10 7 Β V φ Α 10 7 Β φ φ Figure 7. Both paels show the Eistei frame scalar potetial V (ϕ) ad its miimum i the R + αr βr 2 model. Note that V (ϕ mi ) , which gives the o-zero vacuum eergy. 10

12 4 Numerical aalysis of the dark eergy model The o-zero value of the Eistei frame potetial at the miimum rises a possibility of obtaiig a realistic solutio to the dark eergy problem. To aalyse low eergy solutios of the Jorda frame equatios of motio let us use the umber of e-folds (defied by N := log(a)) as a time variable. The Eq. (2.5,2.6) read H 2 (ϕ NN + 3ϕ N ) + H N Hϕ N (ϕu ϕ 2U) = 1 3 (ρ M 3p M ), (4.1) H 2 = ρ M + U 3 (ϕ + ϕ N ), (4.2) where the idex N deotes the derivative with respect to N. Sice i the Jorda frame the Eq. (2.7) is satisfied oe fids ρ M = ρ I e 3(1+w)N, where w = p M /ρ M is a barotropic parameter. After the iflatio ϕ oscillates aroud ϕ mi ad reheats the uiverse by the particle productio. Thus, after oscillatios oe obtais the radiatio domiatio era, for which w = 1/3 ad ρ M 3p M = 0. The radiatio icreases the cosmic frictio term but does ot cotributes to the U eff, so the field is ot shifted from the miimum. However, durig the dust domiatio era the U eff is modified ad ϕ oscillates aroud ϕ = 1. The evolutio of ϕ ad ϕ N durig the dust/de domiatio era is preseted at the Fig. 8. The evolutio of the Hubble parameter ad ρ M /3 is plotted at the Fig. 9. We have assumed that the field starts from the ϕ 1 (which is the GR limit of the theory), but umerical aalysis shows that the late-time results do ot deped o iitial coditios. For istace the iitial value of the field i the Eistei frame miimum the oly differece is slightly loger period of oscillatios aroud ϕ = 1. As log as the ρ M domiates over the eergy desity of the Bras-Dicke field the field oscillates ad stabilises above the ϕ mi. Durig that period ϕ 1 1 ad the R term i f(r) domiates. Thus oe recovers the GR limit of the theory. Whe the dust becomes subdomiat the ϕ rolls to its miimum ad oe obtais the Dark Eergy with the barotropic parameter ω = 1. As show i the Fig. 9 the Hubble parameter obtais the costat value whe the auxiliary field is i its miimum. The H = cost implies that R = 12H 2 = 4ρ Λ, where ρ Λ is the DE eergy desity. While ϕ is i its miimum oe fids R = R mi, so at the late times oe fids ρ Λ = R mi /4 1 4 (β) 1 1 β 1 (4ρ Λ) 1. (4.3) The ρ Λ becomes costat eve before the DE domiatio era. Thus, the Eq. 4.3 shall be satisfied at the preset time. 5 Coclusios I this ote we have demostrated how to exted the f(r) = R + αr model to combie successfully both features of the observable Uiverse i a sigle framework: we show how to obtai successful iflatio ad the o-zero residual value of the Ricci scalar i a extesio of the Starobisky model. Our results ca be easily cosistet with PLANCK or BICEP2 data for appropriate choices of the value of. I this case the Eistei frame potetial of the auxiliary field has a miimum oly whe (2 )/( 1) is of the form of a fractio with eve ad odd umbers i the umerator ad the deomiator respectively. The potetial 11

13 jn j N N Figure 8. Numerical results of the evolutio of the Bras-Dicke field ϕ ad its derivative with respect to N as a fuctio of N. We have assumed = 1.95, α = 2 108, β = 10 30, ϕ(0) = 1 ad ϕn (0) = 0. The ρm is the dust with ρi The choice of iitial coditios ad parameters of the model is rather urealistic (to big β ad ρi ), but it illustrates the way of the field to its miimum. UHjL j + 3Hj jl2 4, ΡM j -13 log10 HHL H ΡM -18 3j N N Figure p 9. Left pael: umerical result of the evolutio of the Hubble parameter (gree dashed lie) ad ρm /3ϕ (red solid lie) as a fuctio of time. Note that the vacuum eergy of the Bras-Dicke field starts to domiate whe the field reaches it s miimum. Right pael: umerical result for the evolutio of dust ad auxiliary field s eergy desity (red ad gree lies respectively). The eergy desity of the ϕ obtais the barotropic parameter ωϕ ' 1 about 10 e-folds before the DE domiatio period. has a miimum at ϕ = 1 ad V (ϕ = 1) = 0, which meas that there is o vacuum eergy. For all other forms of (2 )/( 1) the miimum does ot exist ad the potetial goes to or becomes complex for ϕ < 1. I the sectio 3 we have geeralised this model ito R + αr βr2, with α 1 ad β 1. I this case the Ricci scalar is always bigger tha zero. The Eistei frame scalar potetial is real for all ϕ ad it has a miimum for all. The potetial has o-zero value at the miimum, which may become a source of DE. The value of the parameter α is set by the ormalisatio of primordial ihomogeeities, while the value of the parameter β ca be read from the measured value of the preset DE eergy desity. I the sectio 4 we have performed umerical aalysis of the late-time evolutio of the R + αr βr2 model with dust employed as a matter field. Durig the radiatio domiatio era the ρm 3pM = 0, so the effective potetial i the Jorda frame obtais its vacuum form. Thus the field holds ϕ = ϕmi. Durig the dust domiatio era oe fids 12

14 ϕ = F 1, which correspods to the GR limit of the theory. Whe matter starts to be subdomiat the ϕ rolls to its miimum i ϕ = ϕ mi 1. Eve before that momet the eergy desity of the auxiliary field becomes costat ad the eergy desity of the ϕ evolves like DE with barotropic parameter ω ϕ = 1. From the preset value of the DE eergy desity we have foud the value of the parameter β to be (4ρ Λ ) 1 /. 6 Ackowledgemets We would like to thak prof. Ma for useful discussios. This work has bee supported by Natioal Sciece Cetre uder research grat DEC-2012/04/A/ST2/00099 ad partially by research grat DEC-2011/01/M/ST2/02466, by NSFC (No ) ad the Fudametal Research Fuds for the Cetral Uiversity of Chia uder Grat No.2013ZM107. M.A. would also like to ackowledge Chia Postdoctoral Sciece Foudatio for fiacial support. A Oscillatios aroud the miimum Let us assume that the coditio (2.23) is satisfied. The the iflatio eds with the period of oscillatios of the scalar field aroud the miimum of its potetial. To obtai the approximate form of the potetial V from the Eq. (2.22) aroud the miimum ϕ = 1 oe shall express V i term of the Eistei frame field φ = 3/2 log(ϕ) ad perform a Tylor expasio aroud φ = 0. The the leadig term is equal to Durig the oscillatio phase oe obtais V (φ) 6 2( 1) 4( 1)α(α) 1 φ 1. (A.1) < φ 2 t > < V φφ >, (A.2) where < > deotes the average value over oe period of oscillatios. Thus, the effective barotropic parameter i the Eistei frame (deotes as ω φ ) is equal to ω φ = < p > 1 < ρ > = 2 < V φφ > < V > 1 2 < V φφ > + < V >, (A.3) where V φ = dv dφ. For the potetial of the form of (A.1) oe fids ω φ = Thus, durig the oscillatio phase the Eistei frame scale factor is proportioal to ã = t 2 3(1+ω φ) = t From the first Firedma equatio i the Eistei frame oe obtais (A.4) (A.5) < 3 H 2 >=< 1 2 φ2 t > + < V >= 1 2 < V φφ > + < V >, (A.6) where H := ã t /ã is the Eistei frame Hubble parameter. From Eq. (A.2,A.6) oe fids ( ) 1 ( ) 1 < φ > (α) [1 ( ) 1 ] 6 3 2, < ϕ >= exp t 2 3 α 2 3 α t 2 3 α 2. (A.7) By defiitio the Jorda frame scale factor is equal to a = ãϕ 1/2, which gives us the evolutio of a as a fuctio of the Eistei frame time variable. 13

15 Refereces [1] D. H. Lyth ad A. Riotto, Phys. Rept. 314, 1 (1999). [2] A. R. Liddle, New Astroomy Reviews, 45, (2001). [3] A. Mazumdar ad J. Rocher, Phys. Rept. 497, 85 (2011). [4] A. A. Starobisky, Phys. Lett. B 91 (1980) 99. [5] P. A. R. Ade et al. [BICEP2 Collaboratio], arxiv: [astro-ph.co]. [6] P. A. RAde et al. [BICEP2 Collaboratio], arxiv: [astro-ph.co]. [7] A. Codello, J. Joergese, F. Saio ad O. Svedse, arxiv: [hep-ph]. [8] A. De Felice ad S. Tsujikawa, Livig Rev. Rel. 13 (2010) 3 [arxiv: [gr-qc]]. [9] I. Be-Daya, S. Jig, M. Torabia, A. Westphal ad L. Zarate, arxiv: [hep-th]. [10] L. Sebastiai, G. Cogola, R. Myrzakulov, S. D. Oditsov ad S. Zerbii, Phys. Rev. D 89 (2014) [arxiv: [gr-qc]]. [11] S. Perlmutter, M. S. Turer ad M. J. White, Phys. Rev. Lett. 83 (1999) 670 [astro-ph/ ]. [12] D. N. Spergel et al. [WMAP Collaboratio], Astrophys. J. Suppl. 170 (2007) 377 [astro-ph/ ]. [13] P. A. R. Ade et al. [Plack Collaboratio], arxiv: [astro-ph.co]. [14] S. Capozziello, It. J. Mod. Phys. D 11 (2002) 483 [gr-qc/ ]. [15] E. J. Copelad, M. Sami ad S. Tsujikawa, It. J. Mod. Phys. D 15 (2006) 1753 [hep-th/ ]. [16] S. i. Nojiri ad S. D. Oditsov, Phys. Rev. D 68 (2003) [hep-th/ ]. [17] L. Amedola, R. Gaouji, D. Polarski ad S. Tsujikawa, Phys. Rev. D 75 (2007) [gr-qc/ ]. 14

Inflation and dark energy from the Brans-Dicke theory

Inflation and dark energy from the Brans-Dicke theory Prepared for submission to JCAP Inflation and dark energy from the Brans-Dicke theory arxiv:1412.8075v1 [hep-th] 27 Dec 2014 Micha l Artymowski a Zygmunt Lalak b Marek Lewicki c a Institute of Physics,

More information

Inflation : sources of primordial perturbations

Inflation : sources of primordial perturbations DESY Workshop, Particle Cosmology 30 th September 004 Iflatio : sources of primordial perturbatios David Wads Istitute of Cosmology ad Gravitatio Uiversity of Portsmouth Cosmological iflatio: Starobisky

More information

True Nature of Potential Energy of a Hydrogen Atom

True Nature of Potential Energy of a Hydrogen Atom True Nature of Potetial Eergy of a Hydroge Atom Koshu Suto Key words: Bohr Radius, Potetial Eergy, Rest Mass Eergy, Classical Electro Radius PACS codes: 365Sq, 365-w, 33+p Abstract I cosiderig the potetial

More information

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology Advaced Aalysis Mi Ya Departmet of Mathematics Hog Kog Uiversity of Sciece ad Techology September 3, 009 Cotets Limit ad Cotiuity 7 Limit of Sequece 8 Defiitio 8 Property 3 3 Ifiity ad Ifiitesimal 8 4

More information

The standard deviation of the mean

The standard deviation of the mean Physics 6C Fall 20 The stadard deviatio of the mea These otes provide some clarificatio o the distictio betwee the stadard deviatio ad the stadard deviatio of the mea.. The sample mea ad variace Cosider

More information

1 Adiabatic and diabatic representations

1 Adiabatic and diabatic representations 1 Adiabatic ad diabatic represetatios 1.1 Bor-Oppeheimer approximatio The time-idepedet Schrödiger equatio for both electroic ad uclear degrees of freedom is Ĥ Ψ(r, R) = E Ψ(r, R), (1) where the full molecular

More information

Statistics 511 Additional Materials

Statistics 511 Additional Materials Cofidece Itervals o mu Statistics 511 Additioal Materials This topic officially moves us from probability to statistics. We begi to discuss makig ifereces about the populatio. Oe way to differetiate probability

More information

Quantum Annealing for Heisenberg Spin Chains

Quantum Annealing for Heisenberg Spin Chains LA-UR # - Quatum Aealig for Heiseberg Spi Chais G.P. Berma, V.N. Gorshkov,, ad V.I.Tsifriovich Theoretical Divisio, Los Alamos Natioal Laboratory, Los Alamos, NM Istitute of Physics, Natioal Academy of

More information

Physics Letters B 663 (2008) Contents lists available at ScienceDirect. Physics Letters B.

Physics Letters B 663 (2008) Contents lists available at ScienceDirect. Physics Letters B. Physics Letters B 663 008) 367 371 Cotets lists available at ScieceDirect Physics Letters B www.elsevier.com/locate/physletb Holographic cosmological costat ad dark eergy Chao-Ju Feg a,b, a Istitute of

More information

4. Partial Sums and the Central Limit Theorem

4. Partial Sums and the Central Limit Theorem 1 of 10 7/16/2009 6:05 AM Virtual Laboratories > 6. Radom Samples > 1 2 3 4 5 6 7 4. Partial Sums ad the Cetral Limit Theorem The cetral limit theorem ad the law of large umbers are the two fudametal theorems

More information

A statistical method to determine sample size to estimate characteristic value of soil parameters

A statistical method to determine sample size to estimate characteristic value of soil parameters A statistical method to determie sample size to estimate characteristic value of soil parameters Y. Hojo, B. Setiawa 2 ad M. Suzuki 3 Abstract Sample size is a importat factor to be cosidered i determiig

More information

Random Variables, Sampling and Estimation

Random Variables, Sampling and Estimation Chapter 1 Radom Variables, Samplig ad Estimatio 1.1 Itroductio This chapter will cover the most importat basic statistical theory you eed i order to uderstad the ecoometric material that will be comig

More information

Thermodynamical analysis for a variable generalized Chaplygin gas

Thermodynamical analysis for a variable generalized Chaplygin gas Available olie at www.worldscietificews.com WS 66 (7) 49-6 EISS 9-9 hermodyamical aalysis for a variable geeralized haplygi gas Mauel Malaver Departmet of asic Scieces, Maritime iversity of the aribbea,

More information

Chapter 6 Principles of Data Reduction

Chapter 6 Principles of Data Reduction Chapter 6 for BST 695: Special Topics i Statistical Theory. Kui Zhag, 0 Chapter 6 Priciples of Data Reductio Sectio 6. Itroductio Goal: To summarize or reduce the data X, X,, X to get iformatio about a

More information

Regression with an Evaporating Logarithmic Trend

Regression with an Evaporating Logarithmic Trend Regressio with a Evaporatig Logarithmic Tred Peter C. B. Phillips Cowles Foudatio, Yale Uiversity, Uiversity of Aucklad & Uiversity of York ad Yixiao Su Departmet of Ecoomics Yale Uiversity October 5,

More information

ECE 8527: Introduction to Machine Learning and Pattern Recognition Midterm # 1. Vaishali Amin Fall, 2015

ECE 8527: Introduction to Machine Learning and Pattern Recognition Midterm # 1. Vaishali Amin Fall, 2015 ECE 8527: Itroductio to Machie Learig ad Patter Recogitio Midterm # 1 Vaishali Ami Fall, 2015 tue39624@temple.edu Problem No. 1: Cosider a two-class discrete distributio problem: ω 1 :{[0,0], [2,0], [2,2],

More information

17 Phonons and conduction electrons in solids (Hiroshi Matsuoka)

17 Phonons and conduction electrons in solids (Hiroshi Matsuoka) 7 Phoos ad coductio electros i solids Hiroshi Matsuoa I this chapter we will discuss a miimal microscopic model for phoos i a solid ad a miimal microscopic model for coductio electros i a simple metal.

More information

Kinetics of Complex Reactions

Kinetics of Complex Reactions Kietics of Complex Reactios by Flick Colema Departmet of Chemistry Wellesley College Wellesley MA 28 wcolema@wellesley.edu Copyright Flick Colema 996. All rights reserved. You are welcome to use this documet

More information

Lecture 4 Conformal Mapping and Green s Theorem. 1. Let s try to solve the following problem by separation of variables

Lecture 4 Conformal Mapping and Green s Theorem. 1. Let s try to solve the following problem by separation of variables Lecture 4 Coformal Mappig ad Gree s Theorem Today s topics. Solvig electrostatic problems cotiued. Why separatio of variables does t always work 3. Coformal mappig 4. Gree s theorem The failure of separatio

More information

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series Applied Mathematical Scieces, Vol. 7, 03, o. 6, 3-337 HIKARI Ltd, www.m-hikari.com http://d.doi.org/0.988/ams.03.3430 Compariso Study of Series Approimatio ad Covergece betwee Chebyshev ad Legedre Series

More information

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT TR/46 OCTOBER 974 THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION by A. TALBOT .. Itroductio. A problem i approximatio theory o which I have recetly worked [] required for its solutio a proof that the

More information

Linear Regression Demystified

Linear Regression Demystified Liear Regressio Demystified Liear regressio is a importat subject i statistics. I elemetary statistics courses, formulae related to liear regressio are ofte stated without derivatio. This ote iteds to

More information

= (1) Correlations in 2D electron gas at arbitrary temperature and spin polarizations. Abstract. n and n )/n. We will. n ( n

= (1) Correlations in 2D electron gas at arbitrary temperature and spin polarizations. Abstract. n and n )/n. We will. n ( n Correlatios i D electro gas at arbitrary temperature ad spi polarizatios Nguye Quoc Khah Departmet of Theoretical Physics, Natioal Uiversity i Ho Chi Mih City, 7-Nguye Va Cu Str., 5th District, Ho Chi

More information

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS Jural Karya Asli Loreka Ahli Matematik Vol. No. (010) page 6-9. Jural Karya Asli Loreka Ahli Matematik A NEW CLASS OF -STEP RATIONAL MULTISTEP METHODS 1 Nazeeruddi Yaacob Teh Yua Yig Norma Alias 1 Departmet

More information

The Riemann Zeta Function

The Riemann Zeta Function Physics 6A Witer 6 The Riema Zeta Fuctio I this ote, I will sketch some of the mai properties of the Riema zeta fuctio, ζ(x). For x >, we defie ζ(x) =, x >. () x = For x, this sum diverges. However, we

More information

1 6 = 1 6 = + Factorials and Euler s Gamma function

1 6 = 1 6 = + Factorials and Euler s Gamma function Royal Holloway Uiversity of Lodo Departmet of Physics Factorials ad Euler s Gamma fuctio Itroductio The is a self-cotaied part of the course dealig, essetially, with the factorial fuctio ad its geeralizatio

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

Progress In Electromagnetics Research, PIER 51, , 2005

Progress In Electromagnetics Research, PIER 51, , 2005 Progress I Electromagetics Research, PIER 51, 187 195, 2005 COMPLEX GUIDED WAVE SOLUTIONS OF GROUNDED DIELECTRIC SLAB MADE OF METAMATERIALS C. Li, Q. Sui, ad F. Li Istitute of Electroics Chiese Academy

More information

t distribution [34] : used to test a mean against an hypothesized value (H 0 : µ = µ 0 ) or the difference

t distribution [34] : used to test a mean against an hypothesized value (H 0 : µ = µ 0 ) or the difference EXST30 Backgroud material Page From the textbook The Statistical Sleuth Mea [0]: I your text the word mea deotes a populatio mea (µ) while the work average deotes a sample average ( ). Variace [0]: The

More information

Lecture Chapter 6: Convergence of Random Sequences

Lecture Chapter 6: Convergence of Random Sequences ECE5: Aalysis of Radom Sigals Fall 6 Lecture Chapter 6: Covergece of Radom Sequeces Dr Salim El Rouayheb Scribe: Abhay Ashutosh Doel, Qibo Zhag, Peiwe Tia, Pegzhe Wag, Lu Liu Radom sequece Defiitio A ifiite

More information

The Random Walk For Dummies

The Random Walk For Dummies The Radom Walk For Dummies Richard A Mote Abstract We look at the priciples goverig the oe-dimesioal discrete radom walk First we review five basic cocepts of probability theory The we cosider the Beroulli

More information

Castiel, Supernatural, Season 6, Episode 18

Castiel, Supernatural, Season 6, Episode 18 13 Differetial Equatios the aswer to your questio ca best be epressed as a series of partial differetial equatios... Castiel, Superatural, Seaso 6, Episode 18 A differetial equatio is a mathematical equatio

More information

Microscopic Theory of Transport (Fall 2003) Lecture 6 (9/19/03) Static and Short Time Properties of Time Correlation Functions

Microscopic Theory of Transport (Fall 2003) Lecture 6 (9/19/03) Static and Short Time Properties of Time Correlation Functions .03 Microscopic Theory of Trasport (Fall 003) Lecture 6 (9/9/03) Static ad Short Time Properties of Time Correlatio Fuctios Refereces -- Boo ad Yip, Chap There are a umber of properties of time correlatio

More information

Lecture 9: Diffusion, Electrostatics review, and Capacitors. Context

Lecture 9: Diffusion, Electrostatics review, and Capacitors. Context EECS 5 Sprig 4, Lecture 9 Lecture 9: Diffusio, Electrostatics review, ad Capacitors EECS 5 Sprig 4, Lecture 9 Cotext I the last lecture, we looked at the carriers i a eutral semicoductor, ad drift currets

More information

Measurement uncertainty of the sound absorption

Measurement uncertainty of the sound absorption Measuremet ucertaity of the soud absorptio coefficiet Aa Izewska Buildig Research Istitute, Filtrowa Str., 00-6 Warsaw, Polad a.izewska@itb.pl 6887 The stadard ISO/IEC 705:005 o the competece of testig

More information

Properties and Hypothesis Testing

Properties and Hypothesis Testing Chapter 3 Properties ad Hypothesis Testig 3.1 Types of data The regressio techiques developed i previous chapters ca be applied to three differet kids of data. 1. Cross-sectioal data. 2. Time series data.

More information

Matsubara-Green s Functions

Matsubara-Green s Functions Matsubara-Gree s Fuctios Time Orderig : Cosider the followig operator If H = H the we ca trivially factorise this as, E(s = e s(h+ E(s = e sh e s I geeral this is ot true. However for practical applicatio

More information

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A)

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A) REGRESSION (Physics 0 Notes, Partial Modified Appedix A) HOW TO PERFORM A LINEAR REGRESSION Cosider the followig data poits ad their graph (Table I ad Figure ): X Y 0 3 5 3 7 4 9 5 Table : Example Data

More information

The Wave Function and Quantum Reality

The Wave Function and Quantum Reality The Wave Fuctio ad Quatum Reality Sha Gao Uit for History ad Philosophy of Sciece & Cetre for Time, SOPHI Uiversity of Sydey, Sydey, NSW 006, Australia Abstract. We ivestigate the meaig of the wave fuctio

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION DOI: 10.1038/NPHYS309 O the reality of the quatum state Matthew F. Pusey, 1, Joatha Barrett, ad Terry Rudolph 1 1 Departmet of Physics, Imperial College Lodo, Price Cosort Road, Lodo SW7 AZ, Uited Kigdom

More information

Lesson 10: Limits and Continuity

Lesson 10: Limits and Continuity www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals

More information

Sequences of Definite Integrals, Factorials and Double Factorials

Sequences of Definite Integrals, Factorials and Double Factorials 47 6 Joural of Iteger Sequeces, Vol. 8 (5), Article 5.4.6 Sequeces of Defiite Itegrals, Factorials ad Double Factorials Thierry Daa-Picard Departmet of Applied Mathematics Jerusalem College of Techology

More information

DS 100: Principles and Techniques of Data Science Date: April 13, Discussion #10

DS 100: Principles and Techniques of Data Science Date: April 13, Discussion #10 DS 00: Priciples ad Techiques of Data Sciece Date: April 3, 208 Name: Hypothesis Testig Discussio #0. Defie these terms below as they relate to hypothesis testig. a) Data Geeratio Model: Solutio: A set

More information

Statisticians use the word population to refer the total number of (potential) observations under consideration

Statisticians use the word population to refer the total number of (potential) observations under consideration 6 Samplig Distributios Statisticias use the word populatio to refer the total umber of (potetial) observatios uder cosideratio The populatio is just the set of all possible outcomes i our sample space

More information

SECTION 2 Electrostatics

SECTION 2 Electrostatics SECTION Electrostatics This sectio, based o Chapter of Griffiths, covers effects of electric fields ad forces i static (timeidepedet) situatios. The topics are: Electric field Gauss s Law Electric potetial

More information

Recurrence Relations

Recurrence Relations Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The

More information

Singular Continuous Measures by Michael Pejic 5/14/10

Singular Continuous Measures by Michael Pejic 5/14/10 Sigular Cotiuous Measures by Michael Peic 5/4/0 Prelimiaries Give a set X, a σ-algebra o X is a collectio of subsets of X that cotais X ad ad is closed uder complemetatio ad coutable uios hece, coutable

More information

Math 10A final exam, December 16, 2016

Math 10A final exam, December 16, 2016 Please put away all books, calculators, cell phoes ad other devices. You may cosult a sigle two-sided sheet of otes. Please write carefully ad clearly, USING WORDS (ot just symbols). Remember that the

More information

The Minimum Distance Energy for Polygonal Unknots

The Minimum Distance Energy for Polygonal Unknots The Miimum Distace Eergy for Polygoal Ukots By:Johaa Tam Advisor: Rollad Trapp Abstract This paper ivestigates the eergy U MD of polygoal ukots It provides equatios for fidig the eergy for ay plaar regular

More information

Econ 325/327 Notes on Sample Mean, Sample Proportion, Central Limit Theorem, Chi-square Distribution, Student s t distribution 1.

Econ 325/327 Notes on Sample Mean, Sample Proportion, Central Limit Theorem, Chi-square Distribution, Student s t distribution 1. Eco 325/327 Notes o Sample Mea, Sample Proportio, Cetral Limit Theorem, Chi-square Distributio, Studet s t distributio 1 Sample Mea By Hiro Kasahara We cosider a radom sample from a populatio. Defiitio

More information

The improvement of the volume ratio measurement method in static expansion vacuum system

The improvement of the volume ratio measurement method in static expansion vacuum system Available olie at www.sciecedirect.com Physics Procedia 32 (22 ) 492 497 8 th Iteratioal Vacuum Cogress The improvemet of the volume ratio measuremet method i static expasio vacuum system Yu Hogya*, Wag

More information

x a x a Lecture 2 Series (See Chapter 1 in Boas)

x a x a Lecture 2 Series (See Chapter 1 in Boas) Lecture Series (See Chapter i Boas) A basic ad very powerful (if pedestria, recall we are lazy AD smart) way to solve ay differetial (or itegral) equatio is via a series expasio of the correspodig solutio

More information

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations Noliear Aalysis ad Differetial Equatios, Vol. 5, 27, o. 4, 57-7 HIKARI Ltd, www.m-hikari.com https://doi.org/.2988/ade.27.62 Modified Decompositio Method by Adomia ad Rach for Solvig Noliear Volterra Itegro-

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

A New Solution Method for the Finite-Horizon Discrete-Time EOQ Problem

A New Solution Method for the Finite-Horizon Discrete-Time EOQ Problem This is the Pre-Published Versio. A New Solutio Method for the Fiite-Horizo Discrete-Time EOQ Problem Chug-Lu Li Departmet of Logistics The Hog Kog Polytechic Uiversity Hug Hom, Kowloo, Hog Kog Phoe: +852-2766-7410

More information

Chapter 5 Vibrational Motion

Chapter 5 Vibrational Motion Fall 4 Chapter 5 Vibratioal Motio... 65 Potetial Eergy Surfaces, Rotatios ad Vibratios... 65 Harmoic Oscillator... 67 Geeral Solutio for H.O.: Operator Techique... 68 Vibratioal Selectio Rules... 7 Polyatomic

More information

Self-normalized deviation inequalities with application to t-statistic

Self-normalized deviation inequalities with application to t-statistic Self-ormalized deviatio iequalities with applicatio to t-statistic Xiequa Fa Ceter for Applied Mathematics, Tiaji Uiversity, 30007 Tiaji, Chia Abstract Let ξ i i 1 be a sequece of idepedet ad symmetric

More information

An Introduction to Randomized Algorithms

An Introduction to Randomized Algorithms A Itroductio to Radomized Algorithms The focus of this lecture is to study a radomized algorithm for quick sort, aalyze it usig probabilistic recurrece relatios, ad also provide more geeral tools for aalysis

More information

HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT. Examples:

HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT. Examples: 5.6 4 Lecture #3-4 page HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT Do t restrict the wavefuctio to a sigle term! Could be a liear combiatio of several wavefuctios e.g. two terms:

More information

Notes 12 Asymptotic Series

Notes 12 Asymptotic Series ECE 6382 Fall 207 David R. Jackso otes 2 Asymptotic Series Asymptotic Series A asymptotic series (as ) is of the form a ( ) f as = 0 or f a + a a + + ( ) 2 0 2 ote the asymptotically equal to sig. The

More information

Power and Type II Error

Power and Type II Error Statistical Methods I (EXST 7005) Page 57 Power ad Type II Error Sice we do't actually kow the value of the true mea (or we would't be hypothesizig somethig else), we caot kow i practice the type II error

More information

Chapter 10: Power Series

Chapter 10: Power Series Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because

More information

Similarity between quantum mechanics and thermodynamics: Entropy, temperature, and Carnot cycle

Similarity between quantum mechanics and thermodynamics: Entropy, temperature, and Carnot cycle Similarity betwee quatum mechaics ad thermodyamics: Etropy, temperature, ad Carot cycle Sumiyoshi Abe 1,,3 ad Shiji Okuyama 1 1 Departmet of Physical Egieerig, Mie Uiversity, Mie 514-8507, Japa Istitut

More information

TEACHER CERTIFICATION STUDY GUIDE

TEACHER CERTIFICATION STUDY GUIDE COMPETENCY 1. ALGEBRA SKILL 1.1 1.1a. ALGEBRAIC STRUCTURES Kow why the real ad complex umbers are each a field, ad that particular rigs are ot fields (e.g., itegers, polyomial rigs, matrix rigs) Algebra

More information

Analysis of composites with multiple rigid-line reinforcements by the BEM

Analysis of composites with multiple rigid-line reinforcements by the BEM Aalysis of composites with multiple rigid-lie reiforcemets by the BEM Piotr Fedeliski* Departmet of Stregth of Materials ad Computatioal Mechaics, Silesia Uiversity of Techology ul. Koarskiego 18A, 44-100

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer. 6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio

More information

Investigating a new estimator of the serial correlation coefficient

Investigating a new estimator of the serial correlation coefficient Ivestigatig a ew estimator of the serial correlatio coefficiet Mafred Mudelsee Istitute of Mathematics ad Statistics Uiversity of Ket at Caterbury Caterbury Ket CT2 7NF Uited Kigdom 8 May 1998 1 Abstract

More information

1. Linearization of a nonlinear system given in the form of a system of ordinary differential equations

1. Linearization of a nonlinear system given in the form of a system of ordinary differential equations . Liearizatio of a oliear system give i the form of a system of ordiary differetial equatios We ow show how to determie a liear model which approximates the behavior of a time-ivariat oliear system i a

More information

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series.

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series. .3 Covergece Theorems of Fourier Series I this sectio, we preset the covergece of Fourier series. A ifiite sum is, by defiitio, a limit of partial sums, that is, a cos( kx) b si( kx) lim a cos( kx) b si(

More information

Topic 9: Sampling Distributions of Estimators

Topic 9: Sampling Distributions of Estimators Topic 9: Samplig Distributios of Estimators Course 003, 2016 Page 0 Samplig distributios of estimators Sice our estimators are statistics (particular fuctios of radom variables), their distributio ca be

More information

Lecture 2: Monte Carlo Simulation

Lecture 2: Monte Carlo Simulation STAT/Q SCI 43: Itroductio to Resamplig ethods Sprig 27 Istructor: Ye-Chi Che Lecture 2: ote Carlo Simulatio 2 ote Carlo Itegratio Assume we wat to evaluate the followig itegratio: e x3 dx What ca we do?

More information

1 Duality revisited. AM 221: Advanced Optimization Spring 2016

1 Duality revisited. AM 221: Advanced Optimization Spring 2016 AM 22: Advaced Optimizatio Sprig 206 Prof. Yaro Siger Sectio 7 Wedesday, Mar. 9th Duality revisited I this sectio, we will give a slightly differet perspective o duality. optimizatio program: f(x) x R

More information

Probability, Expectation Value and Uncertainty

Probability, Expectation Value and Uncertainty Chapter 1 Probability, Expectatio Value ad Ucertaity We have see that the physically observable properties of a quatum system are represeted by Hermitea operators (also referred to as observables ) such

More information

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) =

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) = AN INTRODUCTION TO SCHRÖDER AND UNKNOWN NUMBERS NICK DUFRESNE Abstract. I this article we will itroduce two types of lattice paths, Schröder paths ad Ukow paths. We will examie differet properties of each,

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 5

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 5 CS434a/54a: Patter Recogitio Prof. Olga Veksler Lecture 5 Today Itroductio to parameter estimatio Two methods for parameter estimatio Maimum Likelihood Estimatio Bayesia Estimatio Itroducto Bayesia Decisio

More information

AN OPEN-PLUS-CLOSED-LOOP APPROACH TO SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC MAPS

AN OPEN-PLUS-CLOSED-LOOP APPROACH TO SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC MAPS http://www.paper.edu.c Iteratioal Joural of Bifurcatio ad Chaos, Vol. 1, No. 5 () 119 15 c World Scietific Publishig Compay AN OPEN-PLUS-CLOSED-LOOP APPROACH TO SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC

More information

Physics 7440, Solutions to Problem Set # 8

Physics 7440, Solutions to Problem Set # 8 Physics 7440, Solutios to Problem Set # 8. Ashcroft & Mermi. For both parts of this problem, the costat offset of the eergy, ad also the locatio of the miimum at k 0, have o effect. Therefore we work with

More information

Topic 18: Composite Hypotheses

Topic 18: Composite Hypotheses Toc 18: November, 211 Simple hypotheses limit us to a decisio betwee oe of two possible states of ature. This limitatio does ot allow us, uder the procedures of hypothesis testig to address the basic questio:

More information

Topic 9: Sampling Distributions of Estimators

Topic 9: Sampling Distributions of Estimators Topic 9: Samplig Distributios of Estimators Course 003, 2018 Page 0 Samplig distributios of estimators Sice our estimators are statistics (particular fuctios of radom variables), their distributio ca be

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information

Curve Sketching Handout #5 Topic Interpretation Rational Functions

Curve Sketching Handout #5 Topic Interpretation Rational Functions Curve Sketchig Hadout #5 Topic Iterpretatio Ratioal Fuctios A ratioal fuctio is a fuctio f that is a quotiet of two polyomials. I other words, p ( ) ( ) f is a ratioal fuctio if p ( ) ad q ( ) are polyomials

More information

GUIDELINES ON REPRESENTATIVE SAMPLING

GUIDELINES ON REPRESENTATIVE SAMPLING DRUGS WORKING GROUP VALIDATION OF THE GUIDELINES ON REPRESENTATIVE SAMPLING DOCUMENT TYPE : REF. CODE: ISSUE NO: ISSUE DATE: VALIDATION REPORT DWG-SGL-001 002 08 DECEMBER 2012 Ref code: DWG-SGL-001 Issue

More information

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER / Statistics

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER / Statistics ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER 1 018/019 DR. ANTHONY BROWN 8. Statistics 8.1. Measures of Cetre: Mea, Media ad Mode. If we have a series of umbers the

More information

Because it tests for differences between multiple pairs of means in one test, it is called an omnibus test.

Because it tests for differences between multiple pairs of means in one test, it is called an omnibus test. Math 308 Sprig 018 Classes 19 ad 0: Aalysis of Variace (ANOVA) Page 1 of 6 Itroductio ANOVA is a statistical procedure for determiig whether three or more sample meas were draw from populatios with equal

More information

Principle Of Superposition

Principle Of Superposition ecture 5: PREIMINRY CONCEP O RUCUR NYI Priciple Of uperpositio Mathematically, the priciple of superpositio is stated as ( a ) G( a ) G( ) G a a or for a liear structural system, the respose at a give

More information

The Numerical Solution of Singular Fredholm Integral Equations of the Second Kind

The Numerical Solution of Singular Fredholm Integral Equations of the Second Kind WDS' Proceedigs of Cotributed Papers, Part I, 57 64, 2. ISBN 978-8-7378-39-2 MATFYZPRESS The Numerical Solutio of Sigular Fredholm Itegral Equatios of the Secod Kid J. Rak Charles Uiversity, Faculty of

More information

Exact Solutions for a Class of Nonlinear Singular Two-Point Boundary Value Problems: The Decomposition Method

Exact Solutions for a Class of Nonlinear Singular Two-Point Boundary Value Problems: The Decomposition Method Exact Solutios for a Class of Noliear Sigular Two-Poit Boudary Value Problems: The Decompositio Method Abd Elhalim Ebaid Departmet of Mathematics, Faculty of Sciece, Tabuk Uiversity, P O Box 741, Tabuki

More information

The natural exponential function

The natural exponential function The atural expoetial fuctio Attila Máté Brookly College of the City Uiversity of New York December, 205 Cotets The atural expoetial fuctio for real x. Beroulli s iequality.....................................2

More information

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4.

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4. 4. BASES I BAACH SPACES 39 4. BASES I BAACH SPACES Sice a Baach space X is a vector space, it must possess a Hamel, or vector space, basis, i.e., a subset {x γ } γ Γ whose fiite liear spa is all of X ad

More information

The axial dispersion model for tubular reactors at steady state can be described by the following equations: dc dz R n cn = 0 (1) (2) 1 d 2 c.

The axial dispersion model for tubular reactors at steady state can be described by the following equations: dc dz R n cn = 0 (1) (2) 1 d 2 c. 5.4 Applicatio of Perturbatio Methods to the Dispersio Model for Tubular Reactors The axial dispersio model for tubular reactors at steady state ca be described by the followig equatios: d c Pe dz z =

More information

Monte Carlo Integration

Monte Carlo Integration Mote Carlo Itegratio I these otes we first review basic umerical itegratio methods (usig Riema approximatio ad the trapezoidal rule) ad their limitatios for evaluatig multidimesioal itegrals. Next we itroduce

More information

EXAMINATIONS OF THE ROYAL STATISTICAL SOCIETY

EXAMINATIONS OF THE ROYAL STATISTICAL SOCIETY EXAMINATIONS OF THE ROYAL STATISTICAL SOCIETY GRADUATE DIPLOMA, 016 MODULE : Statistical Iferece Time allowed: Three hours Cadidates should aswer FIVE questios. All questios carry equal marks. The umber

More information

Title O spherically symmetric gravitatio Gauss-Boet theory Author(s) Narita, Makoto Citatio 沖縄工業高等専門学校紀要 = Bulleti of Okiawa College of Techology(3): 101-106 Issue Date 2009-03 URL http://hdl.hadle.et/20.500.12001/

More information

On Random Line Segments in the Unit Square

On Random Line Segments in the Unit Square O Radom Lie Segmets i the Uit Square Thomas A. Courtade Departmet of Electrical Egieerig Uiversity of Califoria Los Ageles, Califoria 90095 Email: tacourta@ee.ucla.edu I. INTRODUCTION Let Q = [0, 1] [0,

More information

1 of 7 7/16/2009 6:06 AM Virtual Laboratories > 6. Radom Samples > 1 2 3 4 5 6 7 6. Order Statistics Defiitios Suppose agai that we have a basic radom experimet, ad that X is a real-valued radom variable

More information

Chapter 1. Complex Numbers. Dr. Pulak Sahoo

Chapter 1. Complex Numbers. Dr. Pulak Sahoo Chapter 1 Complex Numbers BY Dr. Pulak Sahoo Assistat Professor Departmet of Mathematics Uiversity Of Kalyai West Begal, Idia E-mail : sahoopulak1@gmail.com 1 Module-2: Stereographic Projectio 1 Euler

More information

Analysis of Deutsch-Jozsa Quantum Algorithm

Analysis of Deutsch-Jozsa Quantum Algorithm Aalysis of Deutsch-Jozsa Quatum Algorithm Zhegju Cao Jeffrey Uhlma Lihua Liu 3 Abstract. Deutsch-Jozsa quatum algorithm is of great importace to quatum computatio. It directly ispired Shor s factorig algorithm.

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information